Smart City: a diagnosis of the economic aspects and productive force of the Federal District

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Abstract

Objective: To diagnose the economic aspects and the productive force of the Administrative Regions of the Federal District, in the light of the characteristics that make up the concept of smart cities. Methodology: Secondary data on the economy were extracted from the Federal District government website referring to information on the planning of government activities, the Pluriannual Plan, and Budget Balance, period 2016-2019. As for the productive force, the information was obtained from the Federal Revenue website, called Cnpj.info, from more than 263 thousand business entities, in 2018. Based on content analysis techniques and spatial analysis, the organizational entities were grouped into five categories of technological intensity, classified by the Organization for Economic Cooperation and Development (OECD) as high, medium-high, medium, medium-low, and low technological intensity. Originality/Relevance: The study is justified considering information on the development characteristics of the regions contributes to the improvement of public policies in the construction of modern cities, in addition to identifying flaws and opportunities, reproducing good examples for the understanding research on this current matter. Results: The mapping made it possible to know the types of companies and their potential, as well as the economic and innovative competences in the Federal District. In 2018, there were 112 business entities classified as having a high level of technology intensity. Micro-enterprises concentrated most companies at all technological levels, totaling 178,289. The Federal District still has an incipient productive force regarding the process of building a smart city. Social contributions / for management: It is intended to contribute to decision-making in the field of public policies aimed at economic and social actions in the Federal District, especially with a view to the field of production and innovation that enable the structuring of a smart city in line with the new global development.

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CITATION STYLE

APA

de Souza Freire, F., de Oliveira, L. G., Junior, A. N., da Silva, N. O., & Crispim, F. P. (2022). Smart City: a diagnosis of the economic aspects and productive force of the Federal District. Revista de Gestao Ambiental e Sustentabilidade, 11(1). https://doi.org/10.5585/geas.v11i1.20383

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